Site Report: aus0001

Location: Queensland, Australia

Site Statistics

This dataset contains 169 transects associated with the shoreline at site aus0001 . Each transect represents a segment of the coastline for which elevation and positional data have been analysed to estimate shoreline change trends and related metrics.

The orientation of transects spans from 80.849 ° to 104.348 °, with a mean orientation of 92.057 °, indicating the general alignment of shoreline segments within this site.

In terms of shoreline change:

  • The average linear trend across all transects is 0.134 m/year, with individual values ranging from -1.441 to 1.033 , suggesting a net accretional trend overall.

  • The Root Mean Square Error (RMSE) of the trend model averages 15.053 m, indicating the typical deviation between observed points and the fitted trend line.

Confidence intervals on shoreline position trends are also available:

  • The mean lower bound is 0.068 , and the mean upper bound is 0.09 , reflecting the uncertainty range around trend estimates.

The number of valid data points per transect ( n_points_nonan ) ranges from 428 to 641 , with an average of 620.556 .

Site Zone Analysis

Site Zone Configuration

No areas of interest (AOIs) were identified for this site. This may be due to the min_zone_length ( ) parameter being set too high, or the transect data not meeting the criteria for any defined zones.

This site has been divided in to 4 zones consisting of at minimum 16 transects each. To increase or decrease the sensitivity of the zone definitions (i.e. the number of transects required to define a zone), you can adjust the min_zone_length parameter in the run_narrative_zoning function call above. Zone definitions are customisable, and extensible, and can be modified and extended by editing the aoi_definitions dictionary in the run_narrative_zoning function call above. Zone definitions applied to this site can be found in section Area of Interest Definitions at the bottom of this report.

Zone:

This zone spans km and contains transects, from to .

The figures below show the R² and RMSE metrics for the transects in this zone, which indicate high uncertainty in trend analysis. The R² score (top plot) measures the proportion of variance in the data explained by the model, with values closer to 1 indicating better fit. The sporadic nature of the R² values could be related to seasonal changes, data gaps, or other factors affecting the transects in this zone. The RMSE (bottom plot) quantifies the average deviation of observed values from the model predictions, with lower values indicating better accuracy.

No analysis available for this zone type.

Limitations of interface.crate modeling mean that SAR time serries data is not available for this site type.

The figures below show the R² and RMSE metrics for the transects in this zone, which indicate high uncertainty in trend analysis. The R² score (top plot) measures the proportion of variance in the data explained by the model, with values closer to 1 indicating better fit. The sporadic nature of the R² values could be related to seasonal changes, data gaps, or other factors affecting the transects in this zone. The RMSE (bottom plot) quantifies the average deviation of observed values from the model predictions, with lower values indicating better accuracy.

No analysis available for this zone type.

Table 1 Zone Metrics

Metric

Value

Length

km

Mean Trend

m/year

Beach Slope

R² Score

Table 2 Zone Quality Metrics

Metric

Value

RMSE

m

MAE

m

Confidence Interval

[ , ]

Orientation

°

Transect Summary

Zone: Rapid Accretion

This zone spans 1.6 km and contains 17 transects, from aus0001-0011 to aus0001-0027 . Dynamic accretion zone with significant sand accumulation averaging 0.9m/year. This area shows strong sediment deposition.

The figures below show the R² and RMSE metrics for the transects in this zone, which indicate high uncertainty in trend analysis. The R² score (top plot) measures the proportion of variance in the data explained by the model, with values closer to 1 indicating better fit. The sporadic nature of the R² values could be related to seasonal changes, data gaps, or other factors affecting the transects in this zone. The RMSE (bottom plot) quantifies the average deviation of observed values from the model predictions, with lower values indicating better accuracy.

No analysis available for this zone type.

Limitations of interface.crate modeling mean that SAR time serries data is not available for this site type.

The figures below show the R² and RMSE metrics for the transects in this zone, which indicate high uncertainty in trend analysis. The R² score (top plot) measures the proportion of variance in the data explained by the model, with values closer to 1 indicating better fit. The sporadic nature of the R² values could be related to seasonal changes, data gaps, or other factors affecting the transects in this zone. The RMSE (bottom plot) quantifies the average deviation of observed values from the model predictions, with lower values indicating better accuracy.

No analysis available for this zone type.

Table 3 aus0001_Rapid Accretion_zone_01 Zone Metrics

Metric

Value

Length

1.6 km

Mean Trend

0.9 m/year

Beach Slope

0.0653

R² Score

0.2533

Table 4 aus0001_Rapid Accretion_zone_01 Zone Quality Metrics

Metric

Value

RMSE

15.94 m

MAE

12.57 m

Confidence Interval

[ 0.0583 , 0.0761 ]

Orientation

95 °

Transect Summary

Zone: Moderate Accretion

This zone spans 2.2 km and contains 23 transects, from aus0001-0033 to aus0001-0055 . Stable accretion zone with gradual beach building averaging 0.6m/year. Positive sediment balance is maintained.

The figures below show the R² and RMSE metrics for the transects in this zone, which indicate high uncertainty in trend analysis. The R² score (top plot) measures the proportion of variance in the data explained by the model, with values closer to 1 indicating better fit. The sporadic nature of the R² values could be related to seasonal changes, data gaps, or other factors affecting the transects in this zone. The RMSE (bottom plot) quantifies the average deviation of observed values from the model predictions, with lower values indicating better accuracy.

No analysis available for this zone type.

Limitations of interface.crate modeling mean that SAR time serries data is not available for this site type.

The figures below show the R² and RMSE metrics for the transects in this zone, which indicate high uncertainty in trend analysis. The R² score (top plot) measures the proportion of variance in the data explained by the model, with values closer to 1 indicating better fit. The sporadic nature of the R² values could be related to seasonal changes, data gaps, or other factors affecting the transects in this zone. The RMSE (bottom plot) quantifies the average deviation of observed values from the model predictions, with lower values indicating better accuracy.

No analysis available for this zone type.

Table 5 aus0001_Moderate Accretion_zone_02 Zone Metrics

Metric

Value

Length

2.2 km

Mean Trend

0.6 m/year

Beach Slope

0.0787

R² Score

0.1693

Table 6 aus0001_Moderate Accretion_zone_02 Zone Quality Metrics

Metric

Value

RMSE

13.68 m

MAE

10.73 m

Confidence Interval

[ 0.0695 , 0.0918 ]

Orientation

94.6 °

Transect Summary

Zone: High Uncertainty

This zone spans 2.2 km and contains 23 transects, from aus0001-0056 to aus0001-0078 . Data-limited zone where shoreline trends are difficult to determine reliably. Additional monitoring may be needed.

The figures below show the R² and RMSE metrics for the transects in this zone, which indicate high uncertainty in trend analysis. The R² score (top plot) measures the proportion of variance in the data explained by the model, with values closer to 1 indicating better fit. The sporadic nature of the R² values could be related to seasonal changes, data gaps, or other factors affecting the transects in this zone. The RMSE (bottom plot) quantifies the average deviation of observed values from the model predictions, with lower values indicating better accuracy.

No analysis available for this zone type.

Limitations of interface.crate modeling mean that SAR time serries data is not available for this site type.

The figures below show the R² and RMSE metrics for the transects in this zone, which indicate high uncertainty in trend analysis. The R² score (top plot) measures the proportion of variance in the data explained by the model, with values closer to 1 indicating better fit. The sporadic nature of the R² values could be related to seasonal changes, data gaps, or other factors affecting the transects in this zone. The RMSE (bottom plot) quantifies the average deviation of observed values from the model predictions, with lower values indicating better accuracy.

No analysis available for this zone type.

Table 7 aus0001_High Uncertainty_zone_03 Zone Metrics

Metric

Value

Length

2.2 km

Mean Trend

-0.05 m/year

Beach Slope

0.0759

R² Score

0.0217

Table 8 aus0001_High Uncertainty_zone_03 Zone Quality Metrics

Metric

Value

RMSE

13.62 m

MAE

10.62 m

Confidence Interval

[ 0.0669 , 0.0878 ]

Orientation

94.7 °

Transect Summary

Zone: High Uncertainty

This zone spans 6.3 km and contains 64 transects, from aus0001-0097 to aus0001-0160 . Data-limited zone where shoreline trends are difficult to determine reliably. Additional monitoring may be needed.

The figures below show the R² and RMSE metrics for the transects in this zone, which indicate high uncertainty in trend analysis. The R² score (top plot) measures the proportion of variance in the data explained by the model, with values closer to 1 indicating better fit. The sporadic nature of the R² values could be related to seasonal changes, data gaps, or other factors affecting the transects in this zone. The RMSE (bottom plot) quantifies the average deviation of observed values from the model predictions, with lower values indicating better accuracy.

No analysis available for this zone type.

Limitations of interface.crate modeling mean that SAR time serries data is not available for this site type.

The figures below show the R² and RMSE metrics for the transects in this zone, which indicate high uncertainty in trend analysis. The R² score (top plot) measures the proportion of variance in the data explained by the model, with values closer to 1 indicating better fit. The sporadic nature of the R² values could be related to seasonal changes, data gaps, or other factors affecting the transects in this zone. The RMSE (bottom plot) quantifies the average deviation of observed values from the model predictions, with lower values indicating better accuracy.

No analysis available for this zone type.

Table 9 aus0001_High Uncertainty_zone_04 Zone Metrics

Metric

Value

Length

6.3 km

Mean Trend

-0.07 m/year

Beach Slope

0.0809

R² Score

0.0136

Table 10 aus0001_High Uncertainty_zone_04 Zone Quality Metrics

Metric

Value

RMSE

14.53 m

MAE

11.43 m

Confidence Interval

[ 0.0713 , 0.0941 ]

Orientation

90.4 °

Transect Summary

No areas of interest (AOIs) were found for the site.

Narrative Generation Configuration

Area of Interest Definitions

The area of interest (AOI) definitions are used to categorise shoreline segments based on their trends and characteristics. Each AOI has a priority, conditions for classification, and a description template for narrative generation. This report returns zones with, at minimum, 16 transects.

AOI Name Priority Conditions
No Data 1 If the `trend` of the intersect is null.
Rapid Erosion 2 If the `trend` of the intersect is less than -0.8.
Moderate Erosion 3 If the `trend` of the intersect is less than -0.3.
Rapid Accretion 4 If the `trend` of the intersect is greater than 0.8.
Moderate Accretion 5 If the `trend` of the intersect is greater than 0.3.
High Uncertainty 6 If the `r2_score` of the intersect is less than 0.05. If the `rmse` of the intersect is greater than 30.
Steep Beach 7 If the `beach_slope` of the intersect is greater than 0.08.
Low Energy 8 If the `beach_slope` of the intersect is less than 0.04.
Stable 9 –

LivePublication Data

This micropublication is part of the CoastSat project, which aims to monitor coastal change using satellite imagery. It is based on this version of the interface.crate , and this version of the CoastSat GitHub repository.

Micropublication publication.crate